Home/Compare/vigil-llm vs awesome-ai-agents-security

Comparison

vigil-llm vs awesome-ai-agents-security

Verdict

Pick vigil-llm if vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs; pick awesome-ai-agents-security if awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection.

Markdown twin · vigil-llm alternatives · awesome-ai-agents-security alternatives

GraphCanon updated 1w

vigil-llm logo

vigil-llm

deadbits/vigil-llm

491pushed Jan 31, 2024
vs
awesome-ai-agents-security logo

awesome-ai-agents-security

ProjectRecon/awesome-ai-agents-security

59pushed Jun 12, 2026

Trust & integrity

Signalvigil-llmawesome-ai-agents-security
Maintenance
Dormant (901d since push)
As of 4w · github_public_v1
Steady (58d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Personal account
As of 4w · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

vigil-llm
Detect prompt injections and other risky inputs in LLMs
awesome-ai-agents-security
A curated list of open-source tools and resources for securing autonomous AI agents.

Stars

vigil-llm
491
awesome-ai-agents-security
59

Forks

vigil-llm
56
awesome-ai-agents-security
74

Open issues

vigil-llm
16
awesome-ai-agents-security
61

Language

vigil-llm
Python
awesome-ai-agents-security
-

Adopt for

vigil-llm
Vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs.
awesome-ai-agents-security
awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection.

Persona

vigil-llm
-
awesome-ai-agents-security
-

Runtime

vigil-llm
-
awesome-ai-agents-security
-

License

vigil-llm
Apache-2.0
awesome-ai-agents-security
Other

Last pushed

vigil-llm
Jan 31, 2024
awesome-ai-agents-security
Jun 12, 2026

Categories

vigil-llm
Evaluation & Observability
awesome-ai-agents-security
AI Agents, Evaluation & Observability

Trust and health

Maintenance

vigil-llm
Dormant (18%)
awesome-ai-agents-security
Steady (60%)

Days since push

vigil-llm
901d
awesome-ai-agents-security
58d

Open issues (now)

vigil-llm
16
awesome-ai-agents-security
61

Owner type

vigil-llm
User
awesome-ai-agents-security
Organization

Full report

vigil-llm
Trust report
awesome-ai-agents-security
Trust report

Choose vigil-llm if…

  • License: vigil-llm is Apache-2.0, awesome-ai-agents-security is Other.
  • Tags unique to vigil-llm: adversarial-attacks, large language models, llm security, prompt-injection.
  • vigil-llm ships Docker support for self-hosted deployment.
  • When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.

When NOT to use vigil-llm

  • If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary.
  • For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.

Choose awesome-ai-agents-security if…

  • License: awesome-ai-agents-security is Other, vigil-llm is Apache-2.0.
  • Tags unique to awesome-ai-agents-security: ai-agents, ai-security, autonomous-agents, awesome-list.
  • Also covers AI Agents.
  • When needing a comprehensive overview of open-source tools for securing autonomous AI agents across different phases such as red teaming and runtime protection

When NOT to use awesome-ai-agents-security

  • When you require real-time threat intelligence feeds, which are not provided by this repository's static resource lists
  • For organizations focusing on proprietary tools and resources that prefer not to use open-source solutions for their AI agents' security lifecycle management

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: vigil-llm 491 · awesome-ai-agents-security 59 (synced Jul 21, 2026).

Common questions

What is the difference between vigil-llm and awesome-ai-agents-security?
vigil-llm: Detect prompt injections and other risky inputs in LLMs. awesome-ai-agents-security: A curated list of open-source tools and resources for securing autonomous AI agents.. See the comparison table for live GitHub stats and shared categories.
When should I choose vigil-llm over awesome-ai-agents-security?
Choose vigil-llm over awesome-ai-agents-security when License: vigil-llm is Apache-2.0, awesome-ai-agents-security is Other; Tags unique to vigil-llm: adversarial-attacks, large language models, llm security, prompt-injection; vigil-llm ships Docker support for self-hosted deployment; When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.
When should I choose awesome-ai-agents-security over vigil-llm?
Choose awesome-ai-agents-security over vigil-llm when License: awesome-ai-agents-security is Other, vigil-llm is Apache-2.0; Tags unique to awesome-ai-agents-security: ai-agents, ai-security, autonomous-agents, awesome-list; Also covers AI Agents; When needing a comprehensive overview of open-source tools for securing autonomous AI agents across different phases such as red teaming and runtime protection.
When should I avoid vigil-llm?
If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary. For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.
When should I avoid awesome-ai-agents-security?
When you require real-time threat intelligence feeds, which are not provided by this repository's static resource lists For organizations focusing on proprietary tools and resources that prefer not to use open-source solutions for their AI agents' security lifecycle management
Is vigil-llm or awesome-ai-agents-security more popular on GitHub?
vigil-llm has more GitHub stars (491 vs 59). Stars measure visibility, not whether either tool fits your constraints.
Are vigil-llm and awesome-ai-agents-security open source?
Yes - both are open-source projects on GitHub (vigil-llm: Apache-2.0, awesome-ai-agents-security: Other).
Where can I find alternatives to vigil-llm or awesome-ai-agents-security?
GraphCanon lists graph-backed alternatives at vigil-llm alternatives and awesome-ai-agents-security alternatives (vigil-llm markdown twin, awesome-ai-agents-security markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, vigil-llm or awesome-ai-agents-security?
vigil-llm: Dormant. awesome-ai-agents-security: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for vigil-llm and awesome-ai-agents-security?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vigil-llm trust report; awesome-ai-agents-security trust report.

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